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中国农学通报 ›› 2024, Vol. 40 ›› Issue (4): 14-19.doi: 10.11924/j.issn.1000-6850.casb2022-0226

• 农学·农业基础科学 • 上一篇    下一篇

胡麻新品系主要农艺性状分析与综合评价

郭娜(), 马建富, 郭英杰, 李爱荣(), 刘栋, 张丽丽, 胡杨, 李峰   

  1. 张家口市农业科学院,河北张家口 075000
  • 收稿日期:2022-03-31 修回日期:2022-11-29 出版日期:2024-02-05 发布日期:2024-01-29
  • 通讯作者:
    李爱荣,女,1968年出生,河北张家口人,推广研究员,本科,研究方向:胡麻育种及技术推广。通信地址:075000 河北省张家口市清水河南 路惠通街 张家口市农业科学院,Tel:0313-7155774,E-mail:
  • 作者简介:

    郭娜,女,1987年出生,河北衡水人,助理研究员,本科,研究方向:胡麻育种及技术推广。通信地址:075000 河北省张家口市清水河南路惠通街 张家口市农业科学院,Tel:0313-7155774,E-mail:

  • 基金资助:
    财政部和农业农村部项目“国家现代农业产业体系胡麻产业技术体系”(CARS-17-SYA-8); 杂粮杂豆现代种业科技创新团队(21326305D)

Analysis and Comprehensive Evaluation of Main Agronomic Characters of New Strains of Flax

GUO Na(), MA Jianfu, GUO Yingjie, LI Airong(), LIU Dong, ZHANG Lili, HU Yang, LI Feng   

  1. Zhangjiakou Academy of Agricultural Sciences, Zhangjiakou, Hebei 075000
  • Received:2022-03-31 Revised:2022-11-29 Published-:2024-02-05 Online:2024-01-29

摘要:

为了解胡麻种质资源的多样性,充分利用其有益基因,提高胡麻育种效率,以国内8个育种单位引进的12份胡麻资源为试验材料,对其主要农艺性状进行分析和综合评价。结果表明,各农艺性状变异系数为18.4%~63.13%,参试材料间差距明显,类型广泛;相关性和灰色关联度分析显示,各农艺性状对产量的影响以分枝数、株高最大;主成分分析将主要农艺性状聚为3个主成分,分别是分枝数因子、工艺长度因子和单果粒数因子;通径分析显示,增加分枝数和单株粒重能有效提供产量;聚类分析在欧氏距离为4.02时,将12份参试材料分为3类,其中第3类群的主要特征为株高、工艺长度、分茎数、单株粒重和产量最高,综合表现最好。

关键词: 胡麻, 新品系, 农艺性状, 主成分分析, 聚类分析

Abstract:

The paper aims to understand the diversity of flax germplasm resources, make full use of its beneficial genes and improve flax breeding efficiency. The main agronomic characters of 12 flax materials introduced from 8 domestic breeding units were analyzed and evaluated comprehensively. The results showed that the variation coefficient of agronomic characters ranged from 18.4% to 63.13%, and the difference between the tested materials was obvious. Correlation and grey correlation analysis showed that branch number and plant height were the most important factors affecting the yield. The main agronomic characters were grouped into three main components by principal component analysis, which were branch number factor, process length factor and single fruit number factor. Path analysis showed that increasing the number of branches and grain weight per plant could effectively increase the yield. When the Euclidean distance was 4.02, the 12 test materials were divided into three groups by cluster analysis, and main characteristics of the third group were the highest plant height and process length, the largest number of branching stems, the highest grain weight per plant and yield, and the best comprehensive performance.

Key words: flax, new strain, agronomic characters, principal component analysis, clustering analysis